Batch Virtual Adversarial Training for Graph Convolutional Networks

25 February 2019

Zhijie Deng

Yinpeng Dong

Jun Zhu

GNN

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Papers citing "Batch Virtual Adversarial Training for Graph Convolutional Networks"

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Title
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks Tao Wu Canyixing Cui Xingping Xian Shaojie Qiao Chao Wang Lin Yuan Shui Yu AAML 44 0 0 20 Jun 2024
Robust Graph Neural Networks via Unbiased Aggregation Ruiqi Feng Zhichao Hou Tyler Derr Xiaorui Liu 29 0 0 25 Nov 2023
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions Lukas Gosch Simon Geisler Daniel Sturm Bertrand Charpentier Daniel Zügner Stephan Günnemann AAML GNN 16 29 0 27 Jun 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience Ao Liu Wenshan Li Tao Li Beibei Li Hanyuan Huang Guangquan Xu Pan Zhou AAML 41 0 0 12 Jun 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 13 2 0 07 Apr 2023
Are Defenses for Graph Neural Networks Robust? Felix Mujkanovic Simon Geisler Stephan Günnemann Aleksandar Bojchevski OOD AAML 21 56 0 31 Jan 2023
EDoG: Adversarial Edge Detection For Graph Neural Networks Xiaojun Xu Yue Yu Hanzhang Wang Alok Lal C.A. Gunter Bo Li AAML 32 10 0 27 Dec 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 28 18 0 20 Nov 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 47 14 0 22 Aug 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 21 2 0 29 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 37 133 0 18 Apr 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeon-ju Park Seunghun Lee S. Kim Jinyoung Park Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 16 49 0 26 Mar 2022
LEReg: Empower Graph Neural Networks with Local Energy Regularization Xiaojun Ma Hanyue Chen Guojie Song 21 3 0 20 Mar 2022
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision Jun Zhuang M. Hasan AAML 23 42 0 07 Mar 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng Jiang OOD 30 79 0 17 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 0 16 Feb 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 83 24 0 08 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization Chenhui Zhang Yufei He Yukuo Cen Zhenyu Hou Wenzheng Feng Yuxiao Dong Xu Cheng Hongyun Cai Feng He Jie Tang 35 8 0 08 Dec 2021
Network representation learning: A macro and micro view Xueyi Liu Jie Tang GNN AI4TS 19 23 0 21 Nov 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 27 15 0 28 Oct 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 45 91 0 08 Sep 2021
Tree Decomposed Graph Neural Network Yu-Chiang Frank Wang Tyler Derr 24 68 0 25 Aug 2021
On Generalization of Graph Autoencoders with Adversarial Training Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy GNN 11 6 0 06 Jul 2021
Curvature Graph Neural Network Haifeng Li Jun Cao Jiawei Zhu Yu Liu Qing Zhu Guohua Wu 21 49 0 30 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 29 2 0 21 Jun 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective Lun Du Xu Chen Fei Gao Qiang Fu Kunqing Xie Shi Han Dongmei Zhang 20 12 0 17 May 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 35 36 0 04 Dec 2020
Deperturbation of Online Social Networks via Bayesian Label Transition Jun Zhuang M. Hasan AAML 24 10 0 27 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 74 0 19 Oct 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Node Copying for Protection Against Graph Neural Network Topology Attacks Florence Regol Soumyasundar Pal Mark J. Coates AAML GNN 18 1 0 09 Jul 2020
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 18 273 0 26 Dec 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 254 1,811 0 25 Nov 2016